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About the author

Till Albert wrote thisdissertation with Professor Martin G. Moehrle at the Institute of ProjectManagement and Innovation (IPMI) of the University of Bremen. He now works inthe area of data driven approaches to support innovation and technologymanagement, such as patent analysis, scientometrics, webometrics, socialnetwork analysis, and combinations thereof.

Till Albert presents amachine learning based approach to harnessing information contained in big datafrom different media sources such as patents, scientific publications, or theinternet. He shows how this information can be used for automated maturityevaluation of yet unknown technologies. Elaborate patent based indicators containvery useful information on technological aspects of maturity but lack forothers such as social, economic, ecological, or political factors. The approachpresented in this book is able to incorporate these other factors and provide afirm basis for robust technology maturity and speed of maturity evaluation.

Information Scattering in Different Text Media.- Identifying Text MediaSuitable for Informetric Analyses and Deriving Relevant Indicator Values.- Using Machine Learningto Gauge the Maturity Classification Performance of a Set of Indicators.- Representation,Interpretation, and Utilization of Maturity Analysis Results.